Comparing SSD-placement strategies to scale a database-in-the-cloud

Abstract

Flash memory solid state drives (SSDs) have increasingly been advocated and adopted as a means of speeding up and scaling up data-driven applications. However, given the layered software architecture of cloud-based services, there are a number of options available for placing SSDs. In this work, we studied the trade-offs involved in different SSD placement strategies, their impact of response time and throughput, and ultimately the potential in achieving scalability in Google Fusion Tables (GFT), a cloud-based service for data management and visualization [1].